Talk about what Apache Stanbol can do for you held at the ApacheCon Europe conference 2012 in Sinsheim, Germany

1. What
Can Do for You!
Fabian Christ
fchrist@apache.org

2. About Stanbol
… provides a set of reusable
components for semantic content management.
Semantic CMS
Traditional CMS
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3. started within the project
• Interactive Knowledge Stack – 2009 - 2012
• Funded in part by a €6.58m grant from the EU for a
consortium of 7 research and 6 industrial partners
SCMS -
Semantic Content Management System
Semantic User Interface
Content Knowledge
Presentation &
User Interface Semantic User Interaction Interaction
• A software architecture for semantically Content Access Knowledge Access
Knowledge
Extraction Pipelines
enabled content management systems.
Semantic Lifting
Knowledge Administration
Content Administration
Content
Management
Reasoning
Knowledge
Representation
Content Knowledge and Reasoning
Data Model Models
Content Knowledge
Persistence
Repository Repository
• An open-source community to bring
semantic technologies to content
management system platforms.
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4. Timeline
2010/11/15 2012/05/08
2010/06/29 Apache Stanbol enters Apache Stanbol
Store init incubator 0.9.0-incubating
2010 2011 2012
2010/03/29 2010/07/28 2010/10/17 2011/02/08 2011/04/01 2011/07/22 2011/10/10 2012/03/19 2012/05
FISE init KReS init RICK init IKS Alpha IKS 3.0 IKS 4.0 IKS 5.0 IKS 6.0 IKS 7.0
IKS releases based on Apache Stanbol components
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5. What is a Semantic CMS?
Traditional CMS Semantic CMS
Atomic unit: Document Atomic unit: Entity
Properties as meta-data Semantic meta-data
e.g. author Defined entity types
tags, keywords Linked entities
Keyword search for Semantic search for
strings in docs entities and their relations
Document Management Knowledge Management
Document types Entity management
Document workflow Ontologies
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6. Do Not Replace – but Extend
• No need to replace existing CMS technology
• Stanbol components offer service oriented integration
• Integration through a RESTful web service API
Traditional
CMS HTTP Stanbol
Semantic
Services
Database
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7. Integration scenarios
• Standalone REST API
via included HTTP server
Web Apps
• Web Application REST API
via Servlet-Container
• Embedded Java Application
OSGi Environment
as part of another
Java application App
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8. Help included
• Each component offers its documentation at an HTML
endpoint as part of its RESTful interface
http://localhost:8080
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9. OSGi Component Architecture
Knowledge
Semantic Lifting
Management & Reasoning
RESTful
Service Layer
Apache Apache Apache Apache Apache
Stanbol Stanbol Stanbol Stanbol Stanbol
Enhancer EntityHub ContentHub Ontology Manager Reasoners
Apache
Stanbol Rules
Stanbol
Enhancement
Engines
OSGi
Component Layer
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10. Semantic Lifting
• Enhance content Lorem
Hans
Stanbol Enhancer dolor
Linked
• Manage entities Data
Entityhub Cloud
• Store & search
Contenthub
Content Store Semantic Index Semantic
Search
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11. Enhancer and Enhancement Engines
• Extract entities from unstructured textual content and link
them to external data sources
Enhancement Chain
Convert LangID NER Link
Unstructured
Content
Metadata Enhancements
as RDF
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12. by Rupert Westenthaler
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13. Short Enhancer
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14. Entityhub
• Manage a network of remote sites for fast entity lookup
using local caches for external and custom entity
information
Linked Data
Local support
indices
dbpedia
Manage linkedct.org Web
your entities eHealth Resources
Specific
Entityhub extensions
linkedct
Specific
Reuters Resources
Cached reuters
entities
Local Caches Remote Sites
Referenced Sites
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15. Contenthub
• Store and index documents along with an arbitrary
number of semantic indices
1. enhance
Contenthub Enhancer
2. store
Unstructured
Content
Storage CMS
3. semantic Layer Store
index keep in sync
with CMS
Indexing
indexed via LDPath
configuration Layer
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16. OSGi Component Architecture
Knowledge
Semantic Lifting
Management & Reasoning
RESTful
Service Layer
Apache Apache Apache Apache Apache
Stanbol Stanbol Stanbol Stanbol Stanbol
Enhancer EntityHub ContentHub Ontology Manager Reasoners
Apache
Stanbol Rules
Stanbol
Enhancement
Engines
OSGi
Component Layer
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17. Knowledge Management & Reasoning
• Manage ontology networks
Ontology Manager
• Transform ontologies
Rules
• Inference knowledge
Reasoners
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18. Ontology Manager
• Controlled environment for managing ontologies
• Manage ontology networks to activate/deactivate parts of
complex ontologies
• Manage user sessions for ontologies allowing local user
changes
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19. Rules
• Construction and execution of inference rules
• Inference rules, also called transformation rules, take
premises and return conclusions
• Rules can be organized in recipes which allow to execute
a set of rules as a whole
• Example
• Define rules for doing integrity checks on data fetched from
heterogeneous external data sources
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20. Reasoners
• Common API for existing reasoning services
• Supports different reasoners and configuration in parallel
• Supported third-party reasoners
• Jena RDFS
• OWL
• OWLMini
• HermiT
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21. Uses …
• Apache Felix as its OSGi environment
• Apache Sling launcher and OSGi tools
• Apache Maven as its build environment
• Apache Clerezza as its RDF framework
• Apache Jena to store triples
• Apache Solr for indexing and fast entity lookup
• Apache Tika to convert input
• Apache OpenNLP for entity extraction
• Apache Log4j for logging
• …
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22. for search engine optimization
http://www.sxc.hu/photo/1165440
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23. for related content
http://www.sxc.hu/photo/988001
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24. as a refinement service
http://www.sxc.hu/photo/541350
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25. as a semantic search engine
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26. for document classification
http://www.sxc.hu/photo/1401426
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27. for your use case
http://www.sxc.hu/photo/1009933
Thanks for your
attention!
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